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07/31/2023
A theory of data variability in Neural Network Bayesian inference
Bayesian inference and kernel methods are well established in machine le...
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Unified Field Theory for Deep and Recurrent Neural Networks
Understanding capabilities and limitations of different network architec...
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Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
The interpretation of data from indirect detection experiments searching...
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